75 citations · 193 across the 7 of their papers we have counts for
7 papers
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis
Qian Wang, Huanyi Shui, Thi Tu Trinh Tran +4
In the automotive industry, the full cycle of managing in-use vehicle quality issues can take weeks to investigate. The process involves isolating root causes, defining and impleme…
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam +1
Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by…
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang +1
Survival analysis has been developed and applied in the number of areas including manufacturing, finance, economics and healthcare. In healthcare domain, usually clinical data are…
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam +1
Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by…
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati +2
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different pa…
Observational Data-Driven Modeling and Optimization of Manufacturing Processes
Najibesadat Sadati, Ratna Babu Chinnam, Milad Zafar Nezhad
The dramatic increase of observational data across industries provides unparalleled opportunities for data-driven decision making and management, including the manufacturing indust…
SAFS: A Deep Feature Selection Approach for Precision Medicine
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li +2
In this paper, we propose a new deep feature selection method based on deep architecture. Our method uses stacked auto-encoders for feature representation in higher-level abstracti…